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Showing 1–6 of 6 results
Advanced filters: Author: Terence J. O’Kane Clear advanced filters

  • The current slowdown in global warming has raised questions about the accuracy of climate model projections. This work selects models that are largely in phase with the natural variability, in this case the El Niño/Southern Oscillation, of the climate system. The selected models are able to predict the recent Pacific Ocean temperature and spatial trends.

    • James S. Risbey
    • Stephan Lewandowsky
    • Naomi Oreskes
    Research
    Nature Climate Change
    Volume: 4, P: 835-840

  • In contrast to the significant retreat of Arctic sea-ice, Antarctic sea-ice has exhibited a modest expansion in recent decades. Here, the authors employ model simulations to investigate the drivers of this unexpected trend.

    • Richard J. Matear
    • Terence J. O’Kane
    • Matt Chamberlain
    Research
    Nature Communications
    Volume: 6, P: 1-9

  • Low frequency intrinsic ocean variability has an unknown impact on Antarctic ice shelves, yet can arise even in the absence of varying climate forcing. Here, the authors show that this variability significantly affects modelled basal melting under the Totten Ice Shelf, with implications for the attribution of change.

    • David E. Gwyther
    • Terence J. O’Kane
    • Jamin S. Greenbaum
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-8

  • QuickClim, a machine learning technique that mimics outputs of climate model simulations at a fraction of the computational cost, could support rapid and efficient assessment of future climate responses to a wide range of carbon emissions scenarios and decarbonisation trajectories.

    • Vassili Kitsios
    • Terence John O’Kane
    • David Newth
    ResearchOpen Access
    Communications Earth & Environment
    Volume: 4, P: 1-15